Merge branch 'master' of https://github.com/r9y9/deepvoice3_pytorch

Author: r9y9

README.md

@@ -53,6 +53,7 @@ python train.py --data-root=./data/ljspeech --checkpoint-dir=checkpoints_nyanko
 ## Requirements
 
 - Python 3
+- CUDA >= 8.0
 - PyTorch >= v0.3
 - TensorFlow >= v1.3
 - [tensorboard-pytorch](https://github.com/lanpa/tensorboard-pytorch) (master)
@@ -155,6 +156,12 @@ Once upon a time there was a dear little girl who was loved by every one who loo
 A text-to-speech synthesis system typically consists of multiple stages, such as a text analysis frontend, an acoustic model and an audio synthesis module.
 ```
 
+Note that you have to use the same hyper parameters used for training. For example, if you are using hyper parameters `preset=deepvoice3_ljspeech,builder=deepvoice3"` for training, then synthesis command should be:
+
+```
+python synthesis.py --hparams="builder=deepvoice3,preset=deepvoice3_ljspeech"　${checkpoint_path} ${text_list.txt} ${output_dir}
+```
+
 ## Advanced usage
 
 ### Multi-speaker model